Revenue Operations Analyst, Reporting & Data

skimmer; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

Skimmer is seeking a data-savvy Revenue Operations Analyst to turn messy data into trusted metrics. You’ll own recurring reporting, keep standing dashboards accurate, and close data-quality gaps as our product footprint expands with new acquisitions and go-to-market initiatives.

You’ll apply SQL, Snowflake, and dbt to feed CRM data in HubSpot or Salesforce, prototype AI-powered insights, and partner with executives to deliver timely, decision-driving reports across finance, sales, and operations.

Qualifications

• Experience in revenue operations, BI, or data analytics.
• Background in vertical SaaS and service industries preferred.
• Expertise in SQL, Snowflake, and dbt.
• Experience with HubSpot or Salesforce CRM data structures.
• Ability to support recurring production reports with stakeholders.

Responsibilities

• Maintain trusted weekly reporting and RevOps dashboards.
• Own go-to-market funnel, pipeline, forecast, and revenue reporting.
• Support revenue-share and financing product reporting.
• Respond to ad hoc requests from execs and program leaders.
• Clean, complete CRM data and automate data flows.
• Collaborate with Product Analyst to map product usage into CRM.
• Prototype AI-powered reports and implement in production BI.
• Support data matching, migration, and acquisitions reporting.

Skills

SQL

Snowflake

dbt

CRM platforms

BI tools

AI tools

Data storytelling

Tools

Looker

Tableau

Power BI

Sigma

Job description

Skimmer is on a mission: to modernize the pool and spa service, construction, and repair industry. We're a private equity-backed company with 7000+ customers using Skimmer's pool service platform to transform their businesses. But we're not stopping there (there are over 70,000 pool service companies in this surprisingly large "niche" space).

Our customers love us almost as much as we love them (check out our reviews and our 50+ NPS score!).

We are currently #615 on the Inc. 5000 list of fastest-growing companies (#74 in Texas and #63 in Software!), on the Deloitte Fast 500, one of Built In Austin's Best Startups, ABJ's 6th Fastest Growing Company, and most importantly one of Austin's Best Places for Working Parents for the last 5 years. Our eNPS score is consistently over 60; you will also be joining a company with a collaborative culture, focus on customers, and emphasis on having a good time together.

We're looking for big thinkers with small egos, so let's dive in!

Our Values

• Realize our customers' success is our success.
• Build humble, diverse teams who have fun winning.
• Drive results with urgency.
• Earn trust through transparent communication.

About You

You love turning messy data into numbers people can trust, and you're energized by the idea that your reports are what leaders use to make decisions every week. You're strong in SQL, at home in a CRM, and you already use AI tools to prototype and analyze faster.

You'll report to the Director, Revenue Operations, and work closely with program leaders, the executive team, and your teammates. To start, you'll help keep our standing reports accurate and on time while closing the data-quality gaps that make reporting harder. As you learn our data model, you'll take on more of the recurring reporting work, with the goal of owning specific reports yourself. This role suits someone who wants to grow, because it's built to expand as you do. Our data footprint keeps getting bigger with new products, acquisitions, and leadership reporting, so there will be no shortage of interesting problems.

What You'll Do

• Keep the business running on trusted reporting
• Help run our weekly RevOps KPI dashboards and performance reporting, taking ownership of more of it over time. This covers the go-to-market funnel (marketing, free trial, pipeline, forecast), payments and financial performance, product adoption (including newer add-on products), churn and retention, and customer success/onboarding.
• Support the reporting Finance and Accounting rely on, including revenue-share reporting for partner and referral agreements, reconciliation support, and reporting on our embedded financing products.
• Answer ad hoc requests from the executive team, program leaders, and other stakeholders.
• Make our CRM data clean, complete, and automatic
• Support recurring pipeline and field hygiene audits by standardizing and consolidating fields and helping close known data-quality gaps, including in newer pipelines and product lines.
• Partner with the Product Analyst to bring product usage and adoption data into the CRM, so Customer Success, Sales, and program leaders can see feature adoption, setup, and usage volume.
• Automate manual, spreadsheet-driven processes so CRM data populates on its own instead of through manual uploads.
• Build what's next
• Prototype new reporting with AI tools, then work with the Director, RevOps to get it approved and built into our production BI tool.
• Help stand up reporting for go-to-market, finance, and operations areas as they come online.
• Support acquisitions and grow into the data layer
• Support data matching, migration, and reconciliation for acquisitions, including keeping a clear view of how an acquired business performed on its own versus how it looks inside company-wide numbers.
• Learn our customer and revenue data model, including how customer identity is resolved across systems, and take on more ownership of it over time with the Director's guidance.

What You Bring

• Prior work in revenue operations, business intelligence, or data analytics, ideally with a background in vertical SaaS (experience in the service industry and payment solutions is preferred).
• Proven expertise in SQL, plus experience querying a cloud data warehouse (e.g., Snowflake) and working with modern data transformation workflows (e.g., dbt).
• Proven experience with CRM platforms (e.g., HubSpot or Salesforce), including data structures, field mapping, and data‑quality workflows.
• Outstanding ability to support a recurring production reporting process (export, build, QA, publish) where real stakeholders, including executives, see the results.
• Strong attention to detail and comfort working with both clean, well-defined data sources and raw, messy data.
• Proficiency in a BI or reporting tool (e.g., Sigma, Looker, Tableau, Power BI).
• High emotional intelligence (EQ) and a proven track record of building cross‑functional relationships.
• Experience with AI tools such as